Live Commentary Generation Using Event History Meta Information
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Solution Overview
Problem
Conventional comment generation devices produce monotonous comments following predetermined rules, leading to user boredom and unsatisfactory viewing experiences.
Innovation Solution
A comment generation device that analyzes video data to acquire meta information, determines live commentary based on learned models, and selects commentary from a repository using event meta information and live classification meta information to adapt commentary timing and content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a comment is generated according to a predetermined fixed rule, then the comment generation process is simple and reliable, but the comment content and timing become monotonous, leading to user boredom
Solution Approach 1:
The system transitions from static fixed rules to dynamic adaptive commentary generation. The live commentary determination unit dynamically selects commentary templates based on real-time event states and history meta information, making the commentary adaptable to different situations while maintaining reliable generation through structured template selection
Solution Approach 2:
The system changes parameters such as commentary timing, content selection, and frequency based on event characteristics. By adjusting these parameters according to the event state and history meta information, the system generates diverse and engaging commentary while maintaining consistent generation processes
2Reliability
If a comment is added at a predetermined timing, then the comment addition process is simple and reliable, but the viewing satisfaction of the user is not sufficiently satisfied
Solution Approach 1:
The system uses feedback from event state analysis and history meta information to determine optimal commentary timing. The live commentary determination unit continuously monitors event developments and adjusts commentary timing accordingly, creating a feedback loop that enhances user satisfaction while maintaining reliable automated generation
Solution Approach 2:
The system performs preliminary analysis of event states and history meta information before generating commentary. This preliminary action allows the system to anticipate optimal timing and content selection, improving user satisfaction while maintaining systematic and reliable commentary generation
Data Source
AI summary
Provided is a comment generation device that includes a history meta information acquisition unit and a live determination unit. The history meta information acquisition unit analyzes target video data and acquires history meta information associated with a target event recorded in the target video data. The live determination unit acquires target live classification meta information on the basis of the history meta information and determines a target live commentary corresponding to the target live classification meta information. The history meta information includes past event meta information and live classification meta information associated with an event state before a time point at which the target live commentary is associated in the target event. The event meta information is meta information related to the state of the target event, and the live classification meta information is meta information related to the classification of the live commentary.